PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-05-24 10:22:02.671554+00:00 (UTC)
In US/Central Time, this is 2024-05-24 05:22:02.671554-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/33e4d9fac480f49d6821c0bc73740236acbdd9e9345df438597b9c9a2b3ab2dc.png
We are just generating a random time serie here.
../_images/5bd67b9eba2ef6409c84ad0df2fe629b5201fa41111c5a724b5a9385845e7f0a.png
../_images/4b748705e56adbb4326ed1b3013431524c4470b6f2e7eeb21bbf334b9dcb73f5.png